Background: Network analysis was employed to test whether the overall pattern of depressiveanxious symptom connections remains stable or whether specific symptom-to-symptom links shift from pregnancy to postpartum. Methods:In a perinatal sample (n=4,461 pregnant women, n=5,711 postpartum women), depressive and anxiety symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) and Generalized Anxiety Disorder-7 (GAD-7).Phase-specific polychoric Gaussian graphical models were estimated with EBICglass.We examined strength and bridge centrality, community structure, and nodewise predictability, and compared networks using the network comparison test.Results: Depression and anxiety formed four reproducible communities (one GAD-7 worry/arousal and three EPDS affective/anhedonic, anxious-cognitive distress, and depressed affect/sleepsuicidality modules) with identical partitions across phases.Global strength was similar, but postpartum networks showed higher edge density and more negative partial correlations, suggesting localized changes in which symptom pairs were directly linked-and how strongly-across phases.Across phases, Sadness, Crying, Uncontrollable worrying, and Trouble relaxing were most central and predictable.Worry-, arousal-, and sleep-related symptoms (e.g., Hard to sleep) showed the strongest bridge centrality postpartum, and Self-harm was a prominent bridge during pregnancy; several edges shifted between phases, including stronger Enjoyment-Self-harm and weaker Hard to sleep-Self-harm postpartum.Conclusions: Perinatal depression and anxiety organize into cohesive yet partially distinct symptom networks that remain globally stable but show localized shifts in direct symptom-tosymptom connections from pregnancy to postpartum.Central affective and arousal nodes, particularly sadness, pathological worry, and sleep disturbance, may be high-yield targets for phasetailored screening and intervention.
Stefana et al. (Mon,) studied this question.